Your teams are probably already using AI. Across the industry, 75% are using AI tools regularly. That part isn't really in question anymore.

What's harder to find is workflow change. Only 38% of leaders have restructured how work actually gets done around AI. The gap shows up in the outcomes: 65% of companies have abandoned AI initiatives because the skills and execution weren't in place to support the rollout, and only 1% of organizations say they've reached real AI maturity.

So if adoption is everywhere and maturity is rare, what's actually separating the two?

Capability. Access to AI tools is the easy part. Building the skills, habits, and leadership behaviors to use them effectively across an entire workforce is where most organizations stall.

GA's AI Skills Maturity Model maps four stages—Literate, Applied, Operational, and Transformational—each with its own primary metric and indicators of success, so you can pinpoint exactly where your organization stands and what to focus on next. It also highlights the leadership traits that create lasting advantage as AI adoption deepens: curiosity, discernment, humility, and connection.

Most organizations fall somewhere between stages one and two, which means there's significant opportunity to advance—and real value in moving first.

The longer that gap remains, the harder it becomes to close. Download the framework and see where your organization stands today.